scholarly journals The implications of Big Five standing for the distribution of trait manifestation in behavior: Fifteen experience-sampling studies and a meta-analysis.

2009 ◽  
Vol 97 (6) ◽  
pp. 1097-1114 ◽  
Author(s):  
William Fleeson ◽  
Patrick Gallagher
2021 ◽  
Author(s):  
Patti M. Valkenburg ◽  
Irene Ingeborg van Driel ◽  
Ine Beyens

A recurring claim in the literature is that “active” social media use (ASMU) leads to increases in well-being, whereas “passive” social media use (PSMU) leads to decreases in well-being. The aim of this scoping review was to investigate the validity of this claim by comparing the results of studies that appeared after the meta-analysis of Liu et al. (2019). We found 27 studies focusing on 85 different associations of ASMU or PSMU with well-being. Results showed that studies used a hodgepodge of operationalizations of ASMU and PSMU. Some mixed up private (e.g., direct messaging) and public (e.g., posting, browsing) ASMU and/or PSMU, which is problematic, because private SMU is more synchronous and intimate than public SMU, which may lead to different effects. The majority of the cross-sectional, virtually all the longitudinal, and most of the experience sampling studies disconfirmed the hypothesized associations of ASMU and PSMU with well-being. Moreover, the experiments revealed that the effects of PSMU depend on the content and sender of the posts. Our results indicate that it is time to abandon the active-passive dichotomy and replace it with a more valid measurement of SMU that takes characteristics of SM content, senders, and receivers into account.


2017 ◽  
Vol 183 ◽  
pp. 49-55 ◽  
Author(s):  
Hyein Cho ◽  
Rachel Gonzalez ◽  
Lindsey M. Lavaysse ◽  
Sunny Pence ◽  
Daniel Fulford ◽  
...  

2006 ◽  
Vol 59 (9) ◽  
pp. 1261-1285 ◽  
Author(s):  
Kevin Daniels ◽  
Ruth Hartley ◽  
Cheryl J. Travers

Author(s):  
Eric D. Heggestad ◽  
Liana Kreamer ◽  
Mary M. Hausfeld ◽  
Charmi Patel ◽  
Steven G. Rogelberg

2020 ◽  
Vol 34 (1) ◽  
pp. 8-28 ◽  
Author(s):  
Susanne Buecker ◽  
Marlies Maes ◽  
Jaap J. A. Denissen ◽  
Maike Luhmann

This preregistered meta–analysis ( k = 113, total n = 93 668) addressed how the Big Five dimensions of personality (extraversion, agreeableness, conscientiousness, neuroticism, and openness) are related to loneliness. Robust variance estimation accounting for the dependency of effect sizes was used to compute meta–analytic bivariate correlations between loneliness and personality. Extraversion ( r = −.370), agreeableness ( r = −.243), conscientiousness ( r = −.202), and openness ( r = −.107) were negatively related to loneliness. Neuroticism ( r = .358) was positively related to loneliness. These associations differed meaningfully in strength depending on how loneliness was assessed. Additionally, meta–analytic structural equation modelling was used to investigate the unique association between each personality trait and loneliness while controlling for the other four personality traits. All personality traits except openness remained statistically significantly associated with loneliness when controlling for the other personality traits. Our results show the importance of stable personality factors in explaining individual differences in loneliness. © 2020 European Association of Personality Psychology


2019 ◽  
Vol 112 ◽  
pp. 369-383 ◽  
Author(s):  
Jan Luca Pletzer ◽  
Margriet Bentvelzen ◽  
Janneke K. Oostrom ◽  
Reinout E. de Vries

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